Christopher Dalldorf

This study identifies CyuR as a dual regulator in E. coli that contributes to antimicrobial resistance through Cys-dependent mechanisms and modulates antibiotic transporter expression.

This paper develops a workflow to model E. coli transcriptional regulation using machine learning and gene expression data, showing it can capture multi-scale regulation and resolve regulatory paradoxes.

This study combines machine learning with metabolic and structural analysis to identify specific drug targets from metabolomics data, using a case study of a DHFR-targeting antibiotic.